This paper presents a recurrent neural network (RNN) which is improved by using an
efficient discrete wavelet transform (DWT) for predicting a high-frequency time series. In the …

Generative Adversarial Networks (GANs) have proven to be a preferred method of
synthesizing fake images of ob-jects, such as faces, animals, and automobiles. It is not …

This paper revisits the concept of an authentication machine (A-machine) that aims at
identifying/verifying humans. Although A-machines in the closed-set application scenario …

In this paper we present a new multiresolution technique for general topology surfaces
based on reversing subdivision with energy minimization. We first introduce a general …

Sketch-based interfaces are becoming a useful methodology for interaction with a wide
range of applications. Drawing is a natural and simple paradigm for designers. One of the …

Duplex and triple modular redundancy (TMR) systems are used when a high-level of
reliability is desired. Real-time systems for autonomous critical missions need such degrees …

In this paper we present a new multiresolution framework that takes into consideration
reducing the coarse points' energy during decomposition. We start from initial biorthogonal …

This paper provides a follow-up audit of security checkpoints (or simply checkpoints) for
mass transportation hubs such as airports and seaports aiming at the post-pandemic R&D …

In this paper, we introduce a multi-factor wavelet-based deep recurrent neural network (Multi-
WRNN) model for more accurate pricing of the crude oil future market. This model is capable …

This study contributes to develo** the concept of decision‐making support in biometric‐
based situational awareness systems. Such systems assist users in gathering and analysing …